inv sqrt implementation
.NET Test / .NET tests (push) Successful in 1m32s

This commit is contained in:
2026-09-15 00:52:35 +04:00
parent b54a0a2d42
commit 1e14a72d1c
4 changed files with 331 additions and 3 deletions
@@ -0,0 +1,186 @@
using System.Numerics;
using Shouldly;
using Xunit;
namespace Just.PreciseMath.Tests;
public class PreciseMathInvSqrtTests
{
[Theory]
[InlineData(2.0)]
[InlineData(3.0)]
[InlineData(5.0)]
[InlineData(1e-308)]
[InlineData(1e308)]
public void IrrationalInverseRootsRetainMoreThanBinary64Precision(double value)
{
DoubleDouble input = new(value);
DoubleDouble actual = DDMath.InvSqrt(input);
actual.Low.ShouldNotBe(0.0);
AssertInvSqrtBound(input, actual);
}
[Fact]
public void SpecialValuesMatchReciprocalSquareRootAndRemainCanonical()
{
double[] values = [0.0, -0.0, double.PositiveInfinity, double.NegativeInfinity,
double.NaN, -1.0, -double.Epsilon, double.MinValue];
foreach (double value in values)
{
DoubleDouble actual = DDMath.InvSqrt(new DoubleDouble(value));
// Binary64 is an independent oracle only for these special values.
double expected = 1.0 / Math.Sqrt(value);
BitConverter.DoubleToInt64Bits(actual.High).ShouldBe(
BitConverter.DoubleToInt64Bits(double.IsNaN(expected) ? double.NaN : expected));
BitConverter.DoubleToInt64Bits(actual.Low).ShouldBe(0L);
DoubleDouble.IsCanonical(actual).ShouldBeTrue();
}
DoubleDouble negative = DoubleDouble.FromComponents(-1.0, Math.ScaleB(1.0, -54));
DoubleDouble.IsNaN(DDMath.InvSqrt(negative)).ShouldBeTrue();
}
[Fact]
public void PowersOfFourHaveExactInverseRootsAcrossTheFiniteRange()
{
// 1/sqrt(2^(2k)) = 2^-k exactly, including the minimum subnormal input.
for (int exponent = -1074; exponent <= 1022; exponent += 2)
{
DoubleDouble actual = DDMath.InvSqrt(new DoubleDouble(Math.ScaleB(1.0, exponent)));
actual.High.ShouldBe(Math.ScaleB(1.0, -(exponent / 2)));
BitConverter.DoubleToInt64Bits(actual.Low).ShouldBe(0L);
}
}
[Fact]
public void LowComponentsOnEitherSideOfOneAffectTheInverseRoot()
{
foreach (double low in new[] { Math.ScaleB(1.0, -54), -Math.ScaleB(1.0, -54) })
{
DoubleDouble input = DoubleDouble.FromComponents(1.0, low);
DoubleDouble actual = DDMath.InvSqrt(input);
actual.High.ShouldBe(1.0);
Math.Sign(actual.Low).ShouldBe(-Math.Sign(low));
AssertInvSqrtBound(input, actual);
}
}
[Fact]
public void PositiveFiniteInputsMeetExactRelativeErrorBound()
{
// Every input exponent, both parities, dense/sparse lows of either sign,
// and neighbors of binade transitions. The oracle uses the exact stored
// input sum, including any rounding during public input construction.
Random random = new(271828);
for (int exponent = -1074; exponent <= 1023; ++exponent)
{
double high = Math.ScaleB(1.0 + random.NextDouble(), exponent);
double low = Math.ScaleB(random.NextDouble(), exponent - 53);
double power = Math.ScaleB(1.0, exponent);
foreach (double boundary in new[] { Math.BitDecrement(power), power, Math.BitIncrement(power) })
{
if (boundary > 0.0)
{
DoubleDouble input = new(boundary);
AssertInvSqrtBound(input, DDMath.InvSqrt(input));
}
}
foreach (double residual in new[] { 0.0, low, -low, double.Epsilon, -double.Epsilon })
{
DoubleDouble input = DoubleDouble.FromComponents(high, residual);
if (input.High > 0.0)
{
AssertInvSqrtBound(input, DDMath.InvSqrt(input));
}
}
}
DoubleDouble[] boundaries = [new(1e-308), new(double.Epsilon),
new(Math.BitDecrement(Math.ScaleB(1.0, -1022))), new(Math.ScaleB(1.0, -1022)),
new(Math.BitIncrement(Math.ScaleB(1.0, -1022))), new(double.MaxValue),
DoubleDouble.FromComponents(double.MaxValue, Math.BitDecrement(Math.ScaleB(1.0, 970))),
DoubleDouble.FromComponents(double.MaxValue, -Math.ScaleB(1.0, 970)),
DoubleDouble.FromComponents(1.0, Math.ScaleB(1.0, -53)),
DoubleDouble.FromComponents(1.0, -Math.ScaleB(1.0, -54)),
DoubleDouble.FromComponents(4.0, Math.ScaleB(1.0, -51)),
DoubleDouble.FromComponents(4.0, -Math.ScaleB(1.0, -52)),
DoubleDouble.FromComponents(0.0, double.Epsilon)];
foreach (DoubleDouble input in boundaries)
{
AssertInvSqrtBound(input, DDMath.InvSqrt(input));
}
}
[Fact]
public void DenseLowNormalizationBoundariesMeetTheBound()
{
// Exercise adjacent lows at half an ulp, both signs, for each exponent.
Random random = new(161803);
for (int exponent = -1074; exponent <= 1023; ++exponent)
{
double high = Math.ScaleB(1.0 + random.NextDouble(), exponent);
double halfUlp = Math.ScaleB(1.0, exponent - 53);
foreach (double magnitude in new[] { Math.BitDecrement(halfUlp), halfUlp, Math.BitIncrement(halfUlp) })
{
foreach (double low in new[] { magnitude, -magnitude })
{
DoubleDouble input = DoubleDouble.FromComponents(high, low);
if (DoubleDouble.IsFinite(input) && input.High > 0.0)
{
AssertInvSqrtBound(input, DDMath.InvSqrt(input));
}
}
}
}
}
[Fact]
public void RepresentableSparseCorrectionsAreNotDiscarded()
{
// (1+d)^(-1/2) = 1-d/2+O(d^2). For these dyadic d, the quadratic
// term is below half an ulp of d/2, even at the minimum subnormal.
foreach (int exponent in new[] { -100, -500, -1000, -1073 })
{
foreach (double sign in new[] { -1.0, 1.0 })
{
double low = Math.ScaleB(sign, exponent);
DoubleDouble actual = DDMath.InvSqrt(DoubleDouble.FromComponents(1.0, low));
actual.High.ShouldBe(1.0);
actual.Low.ShouldBe(Math.ScaleB(-sign, exponent - 1));
DoubleDouble.IsCanonical(actual).ShouldBeTrue();
}
}
}
private static void AssertInvSqrtBound(DoubleDouble input, DoubleDouble actual)
{
DoubleDouble.IsFinite(actual).ShouldBeTrue();
DoubleDouble.IsCanonical(actual).ShouldBeTrue();
(actual.High > 0.0).ShouldBeTrue();
// Exact dyadic oracle: x = X*2^-1074, y = Y*2^-1074. For positive
// x and y, |y/(1/sqrt(x)) - 1| <= t iff (1-t)^2 <= x*y^2 <= (1+t)^2.
// Cross-multiply with t=2^-100; no DD product, division or rounded root.
BigInteger x = Units(input.High) + Units(input.Low);
BigInteger y = Units(actual.High) + Units(actual.Low);
BigInteger scale = BigInteger.One << 100;
BigInteger product = (x * y * y) << 200;
BigInteger lower = ((scale - 1) * (scale - 1)) << 3222;
BigInteger upper = ((scale + 1) * (scale + 1)) << 3222;
(product >= lower && product <= upper).ShouldBeTrue(
$"InvSqrt bound failed for ({input.High:R}, {input.Low:R}): ({actual.High:R}, {actual.Low:R})");
}
private static BigInteger Units(double value)
{
long bits = BitConverter.DoubleToInt64Bits(value);
int exponent = (int)((bits >> 52) & 0x7ff);
BigInteger significand = bits & 0xfffffffffffffL;
if (exponent != 0)
{
significand += BigInteger.One << 52;
significand <<= exponent - 1;
}
return bits < 0 ? -significand : significand;
}
}
@@ -116,6 +116,8 @@ public class PreciseMathSqrtTests
new(Math.BitIncrement(Math.ScaleB(1.0, -1022))), new(double.MaxValue),
DoubleDouble.FromComponents(double.MaxValue, Math.ScaleB(1.0, 969)),
DoubleDouble.FromComponents(double.MaxValue, -Math.ScaleB(1.0, 969)),
DoubleDouble.FromComponents(double.MaxValue, Math.BitDecrement(Math.ScaleB(1.0, 970))),
DoubleDouble.FromComponents(double.MaxValue, -Math.ScaleB(1.0, 970)),
DoubleDouble.FromComponents(1.0, Math.ScaleB(1.0, -53)),
DoubleDouble.FromComponents(1.0, -Math.ScaleB(1.0, -54)),
DoubleDouble.FromComponents(4.0, Math.ScaleB(1.0, -51)),
@@ -126,6 +128,84 @@ public class PreciseMathSqrtTests
}
}
[Fact]
public void RootRoundingMidpointsAndAdjacentLowsMeetTheBound()
{
// Exact squares of root midpoints 1 + 2^-53 and 2 - 2^-53:
// (1 + 2^-52) + 2^-106 and (4 - 2^-51) + 2^-106.
// Bracket each with adjacent low doubles, then exercise exponent parity
// and rescaling. At tiny exponents the input itself loses low precision;
// the oracle always checks the exact stored input, not the unscaled square.
double midpointLow = Math.ScaleB(1.0, -106);
for (int exponent = -1074; exponent <= 1022; ++exponent)
{
foreach (double high in new[] { Math.BitIncrement(1.0), Math.BitDecrement(4.0) })
{
foreach (double low in new[] { Math.BitDecrement(midpointLow), midpointLow, Math.BitIncrement(midpointLow) })
{
DoubleDouble input = DoubleDouble.FromComponents(Math.ScaleB(high, exponent), Math.ScaleB(low, exponent));
if (DoubleDouble.IsFinite(input) && input.High > 0.0)
{
AssertSqrtBound(input, DDMath.Sqrt(input));
}
}
}
}
}
[Fact]
public void PublicFactoryNormalizesLegacyZeroHighInputsBeforeTakingTheRoot()
{
// Legacy raw (0, low) examples are normalized at the public boundary.
foreach (double low in new[] { double.Epsilon, 1e-308, 2.0, double.MaxValue })
{
DoubleDouble input = DoubleDouble.FromComponents(0.0, low);
AssertSqrtBound(input, DDMath.Sqrt(input));
}
DoubleDouble.IsNaN(DDMath.Sqrt(DoubleDouble.FromComponents(0.0, -1.0))).ShouldBeTrue();
}
[Fact]
public void DenseLowNormalizationBoundariesMeetTheBound()
{
// Half-ulp lows and their neighbors test both sides of input normalization.
Random random = new(161803);
for (int exponent = -1074; exponent <= 1023; ++exponent)
{
double high = Math.ScaleB(1.0 + random.NextDouble(), exponent);
double halfUlp = Math.ScaleB(1.0, exponent - 53);
foreach (double magnitude in new[] { Math.BitDecrement(halfUlp), halfUlp, Math.BitIncrement(halfUlp) })
{
foreach (double low in new[] { magnitude, -magnitude })
{
DoubleDouble input = DoubleDouble.FromComponents(high, low);
if (DoubleDouble.IsFinite(input) && input.High > 0.0)
{
AssertSqrtBound(input, DDMath.Sqrt(input));
}
}
}
}
}
[Fact]
public void RepresentableSparseCorrectionsAreNotDiscarded()
{
// sqrt(1+d) = 1+d/2+O(d^2). For these dyadic d, the quadratic term
// is below half an ulp of d/2, including when d/2 is the minimum subnormal.
foreach (int exponent in new[] { -100, -500, -1000, -1073 })
{
foreach (double sign in new[] { -1.0, 1.0 })
{
double low = Math.ScaleB(sign, exponent);
DoubleDouble actual = DDMath.Sqrt(DoubleDouble.FromComponents(1.0, low));
actual.High.ShouldBe(1.0);
actual.Low.ShouldBe(Math.ScaleB(sign, exponent - 1));
DoubleDouble.IsCanonical(actual).ShouldBeTrue();
}
}
}
private static void AssertSqrtBound(DoubleDouble input, DoubleDouble actual)
{
DoubleDouble.IsFinite(actual).ShouldBeTrue();